Calculate the cost of using gpt-6-luna-decisions from OpenRouter for your AI applications
Pricing data last updated:
Mode: Decisions
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gpt-6-luna-decisions is a decisions model from OpenRouter, one of 25 decisions models they offer. It is priced at $0.10 per 1M input tokens and $0.0000 per 1M output tokens, ranking 32 out of 37 decisions models by cost and cheaper than 14% of models in this category. gpt-6-luna-decisions supports vision. Its 1,050K-token context window is in the top 2% among decisions models.
Note: Use the interactive calculator above to estimate costs for your specific usage patterns.
Use the maximum token limits shown above to understand the model's capacity. This model can handle up to 1,050,000 input tokens. The maximum output length is 945,000 tokens.
At $0.10 per 1M input tokens and $0.0000 per 1M output tokens, gpt-6-luna-decisions ranks 32 out of 37 decisions models by input cost. It is more expensive compared to the median of $0.04 for decisions models, and is cheaper than 14% of models in this category.
gpt-6-luna-decisions is one of 25 OpenRouter decisions models, with support for vision. its 1,050K-token context window places it in the top 2% of decisions models.
| Model | Provider | Input / 1M tokens | Output / 1M tokens | vs gpt-6-luna-decisions |
|---|---|---|---|---|
| clef-flash | Cloudflare | $0.09 | $0.0000 | -10% |
| clef-omni | Cloudflare | $0.15 | $0.0000 | +50% |
| clef | Cloudflare | $0.24 | $0.0000 | +140% |
Similar decisions models from other providers
No. gpt-6-luna-decisions costs $0.10 per 1M input tokens while clef-flash costs $0.09 per 1M input tokens, making clef-flash 10% more affordable for input. However, gpt-6-luna-decisions may offer different capabilities or performance characteristics that justify the price difference.
gpt-6-luna-decisions input pricing is $0.10 per 1M tokens, which is 138% above the median of $0.04 for decisions models. It ranks 32 out of 37 decisions models by input cost, making it cheaper than 14% of models in this category.
Among OpenRouter's 25 decisions models, gpt-6-luna-decisions ranks 24 by input cost.
The most comparable decisions models to gpt-6-luna-decisions are: clef-flash from Cloudflare ($0.09/1M input tokens); clef-omni from Cloudflare ($0.15/1M input tokens); clef from Cloudflare ($0.24/1M input tokens); clef-flash from Ollama ($0.0000/1M input tokens). These alternatives were selected based on similar capabilities, pricing, and provider diversity. You can compare any of these models in detail using the Bifrost Model Library.
gpt-6-luna-decisions supports up to 1,050,000 input tokens, placing it in the top 2% of decisions models by context window size (rank 1 of 53). This makes it suitable for processing long documents, extensive code repositories, or maintaining detailed conversation histories.
You can monitor OpenRouter service health in real time on the Bifrost OpenRouter Status page. It tracks current component status, active incidents, and historical reliability data pulled from the official status page every 60 seconds.
gpt-6-luna-decisions is priced based on input and output tokens. Use the interactive calculator at the top of this page to estimate costs for your specific workload. Enter your expected input and output tokens volume and the calculator will show the total cost breakdown. For reference, processing 1M input tokens costs $0.10 and generating 1M output tokens costs $0.0000.